ChronoOps Automation Suite

After-sales requests are received through fragmented channels (emails, phone calls, ad-hoc forms, WhatsApp, paper documents).

Intake information is inconsistent and often incomplete, requiring manual follow-ups to collect missing details.

​Requests are manually triaged, slowing down initial assessment and delaying work order creation.

After-sales execution becomes reactive rather than controlled and measurable, impacting service quality and customer experience.

Trigger (Intake received): Customer/boutique submits request via email or form, including photos and proof of purchase.

Ingestion & storage: Attachments and metadata are captured; files are stored  in SharePoint/Dataverse under a unique case folder.

AI extraction and classification: AI reads documents/photos to extract watch reference, serial number, customer details, warranty indicators, and requested service type. AI classifies the request and flags missing / unclear inputs.

Create work order: A Work Order record is created in Dataverse/SharePoint; SLA timer starts immediately.

Auto-triage & routing: Work order is routed to the correct workshop queue based on model family, complication type, warranty status, and workload/capacity rules.

Acknowledgement: Automatic confirmation sent to customer/boutique with case ID and next steps.

Ongoing monitoring of key milestones.

Reduced turnaround time: Automated intake, triage, and routing eliminate manual handoffs and accelerate service start.

Consistent, high-quality intake: AI-driven extraction ensures critical data (serial, reference, warranty, photos) is captured upfront, reducing rework.

Improved customer experience: Proactive, standardized status updates reduce uncertainty and inbound follow-up enquiries.

Full end-to-end traceability: Every request is tracked from submission to shipment, with timestamps, SLA metrics, and audit-ready logs

One of the strongest advantages of this automation suite  is its native integrability across the Microsoft E365 ecosystem.